Key Points
-
Population genetics can be applied to investigate how natural selection has shaped the variability of innate immunity genes in the human population, providing an indispensable complement to immunological as well as clinical and epidemiological genetic approaches. Recent studies have shown that the impact of selection on the different families of innate immune receptors and their downstream signalling molecules varies considerably, helping to delineate the relative functional importance of the corresponding pathways.
-
Receptors such as endosomal Toll-like receptors (TLRs) and most NACHT, LRR and pyrin domain-containing proteins (NALPs), adaptors such as myeloid differentiation primary response protein 88 (MYD88) and TIR domain-containing adapter molecule 1 (TRIF), or effector molecules such as a subset of type I interferons (IFNs) and IFNγ have been targeted by strong purifying selection, highlighting the essential and non-redundant nature of the immunological mechanisms involved.
-
Other families of innate immunity molecules, such as the RIG-I-like receptors (RLRs), the cell-surface TLRs, and most nucleotide-binding oligomerization domain-containing (NOD)/Ice protease-activating factor (IPAF)/MHC class II transactivator (CIITA) subfamily members of the NOD-like receptor (NLR) family have evolved under much weaker selective constraints, suggesting greater redundancy in the pathways triggered by these molecules.
-
Events of positive selection have targeted genetic variation at various innate immunity molecules, such as type III IFNs, attesting to the presence of functional variation at these genes and consequently in the immune responses mediated by them, which has allowed for increased host survival under specific environmental pressures, probably related to pathogen presence.
-
Striking differences in selective pressures have been detected in most genes involved in single-gene versus complex diseases, supporting the notion that life-threatening infectious diseases in childhood result mostly from rare single-gene variations, whereas the genetic component of predisposition to secondary infections in adults is more complex.
-
Thus, population genetics helps us to differentiate between innate immune genes that have a high degree of redundancy and those that are essential and non-redundant. The identification of essential genes is particularly important for molecules whose functions remain poorly described, as this helps to prioritize genes to be further studied from an immunological standpoint.
Abstract
Innate immunity involves direct interactions between the host and microorganisms, both pathogenic and symbiotic, so natural selection is expected to strongly influence genes involved in these processes. Population genetics investigates the impact of past natural selection events on the genome of present-day human populations, and it complements immunological as well as clinical and epidemiological genetic studies. Recent data show that the impact of selection on the different families of innate immune receptors and their downstream signalling molecules varies considerably. This Review discusses these findings and highlights how they help to delineate the relative functional importance of innate immune pathways, which can range from being essential to being redundant.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout



Similar content being viewed by others
References
Alcais, A., Abel, L. & Casanova, J. L. Human genetics of infectious diseases: between proof of principle and paradigm. J. Clin. Invest. 119, 2506–2514 (2009).
Casanova, J. L. & Abel, L. Human genetics of infectious diseases: a unified theory. EMBO J. 26, 915–922 (2007).
Chapman, S. J. & Hill, A. V. Human genetic susceptibility to infectious disease. Nature Rev. Genet. 13, 175–188 (2012).
Bolze, A. et al. Whole-exome-sequencing-based discovery of human FADD deficiency. Am. J. Hum. Genet. 87, 873–881 (2010).
Byun, M. et al. Whole-exome sequencing-based discovery of STIM1 deficiency in a child with fatal classic Kaposi sarcoma. J. Exp. Med. 207, 2307–2312 (2010).
Liu, L. et al. Gain-of-function human STAT1 mutations impair IL-17 immunity and underlie chronic mucocutaneous candidiasis. J. Exp. Med. 208, 1635–1648 (2011). References 4–6 report the first identifications of Mendelian defects related to an infectious disease using whole-exome approaches.
Vannberg, F. O., Chapman, S. J. & Hill, A. V. Human genetic susceptibility to intracellular pathogens. Immunol. Rev. 240, 105–116 (2011).
Barreiro, L. B. & Quintana-Murci, L. From evolutionary genetics to human immunology: how selection shapes host defence genes. Nature Rev. Genet. 11, 17–30 (2010).
Quintana-Murci, L., Alcais, A., Abel, L. & Casanova, J. L. Immunology in natura: clinical, epidemiological and evolutionary genetics of infectious diseases. Nature Immunol. 8, 1165–1171 (2007).
Sabeti, P. C. et al. Positive natural selection in the human lineage. Science 312, 1614–1620 (2006).
Cooper, M. D. & Alder, M. N. The evolution of adaptive immune systems. Cell 124, 815–822 (2006).
Kimbrell, D. A. & Beutler, B. The evolution and genetics of innate immunity. Nature Rev. Genet. 2, 256–267 (2001).
Lemaitre, B. & Hoffmann, J. The host defense of Drosophila melanogaster. Annu. Rev. Immunol. 25, 697–743 (2007).
Takeuchi, O. & Akira, S. Pattern recognition receptors and inflammation. Cell 140, 805–820 (2010).
Medzhitov, R. Recognition of microorganisms and activation of the immune response. Nature 449, 819–826 (2007).
Spoel, S. H. & Dong, X. How do plants achieve immunity? Defence without specialized immune cells. Nature Rev. Immunol. 12, 89–100 (2012).
The International HapMap 3 Consortium. Integrating common and rare genetic variation in diverse human populations. Nature 467, 52–58 (2010).
The 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010).
Nielsen, R., Hellmann, I., Hubisz, M., Bustamante, C. & Clark, A. G. Recent and ongoing selection in the human genome. Nature Rev. Genet. 8, 857–868 (2007). This study and reference 10 are excellent reviews of how natural selection acts. They list the signatures and implications of natural selection, along with the different methods used for detecting selection on the basis of population genetic data.
Kryukov, G. V., Pennacchio, L. A. & Sunyaev, S. R. Most rare missense alleles are deleterious in humans: implications for complex disease and association studies. Am. J. Hum. Genet. 80, 727–739 (2007).
Tishkoff, S. A. et al. Convergent adaptation of human lactase persistence in Africa and Europe. Nature Genet. 39, 31–40 (2007). An elegant example of a second independent mutation in the same gene resulting in a parallel adaptation in humans to metabolize milk throughout life.
Charlesworth, D. Balancing selection and its effects on sequences in nearby genome regions. PLoS Genet. 2, e64 (2006).
Chaix, R., Cao, C. & Donnelly, P. Is mate choice in humans MHC-dependent? PLoS Genet. 4, e1000184 (2008).
Hedrick, P. W., Whittam, T. S. & Parham, P. Heterozygosity at individual amino acid sites: extremely high levels for HLA-A and -B genes. Proc. Natl Acad. Sci. USA 88, 5897–5901 (1991).
Hughes, A. L. & Nei, M. Pattern of nucleotide substitution at major histocompatibility complex class I loci reveals overdominant selection. Nature 335, 167–170 (1988).
Prugnolle, F. et al. Pathogen-driven selection and worldwide HLA class I diversity. Curr. Biol. 15, 1022–1027 (2005).
Andres, A. M. et al. Targets of balancing selection in the human genome. Mol. Biol. Evol. 26, 2755–2764 (2009).
Clark, A. G. et al. Inferring nonneutral evolution from human-chimp-mouse orthologous gene trios. Science 302, 1960–1963 (2003). The first genome-wide analysis of genes evolving under positive selection in the human evolutionary lineage.
Nielsen, R. et al. A scan for positively selected genes in the genomes of humans and chimpanzees. PLoS Biol. 3, e170 (2005).
Kosiol, C. et al. Patterns of positive selection in six Mammalian genomes. PLoS Genet. 4, e1000144 (2008).
Bustamante, C. D. et al. Natural selection on protein-coding genes in the human genome. Nature 437, 1153–1157 (2005).
The 1000 Genomes Project Consortium. An integrated map of genetic variation from 1,092 human genomes. Nature 491, 56–65 (2012). This study and reference 18 report the first large-scale population study based on complete human genome sequences, as part of the 1000 Genomes Project.
Akey, J. M. Constructing genomic maps of positive selection in humans: where do we go from here? Genome Res. 19, 711–722 (2009).
Barreiro, L. B., Laval, G., Quach, H., Patin, E. & Quintana-Murci, L. Natural selection has driven population differentiation in modern humans. Nature Genet. 40, 340–345 (2008). A clear demonstration that natural selection, often pathogen mediated, drives adaptive differences among geographically distinct human populations.
Voight, B. F., Kudaravalli, S., Wen, X. & Pritchard, J. K. A map of recent positive selection in the human genome. PLoS Biol. 4, e72 (2006).
Pickrell, J. K. et al. Signals of recent positive selection in a worldwide sample of human populations. Genome Res. 19, 826–837 (2009).
Sabeti, P. C. et al. Genome-wide detection and characterization of positive selection in human populations. Nature 449, 913–918 (2007).
Beutler, B. et al. Genetic analysis of host resistance: toll-like receptor signaling and immunity at large. Annu. Rev. Immunol. 24, 353–389 (2006).
Kawai, T. & Akira, S. Toll-like receptors and their crosstalk with other innate receptors in infection and immunity. Immunity 34, 637–650 (2011).
Kufer, T. A. & Sansonetti, P. J. NLR functions beyond pathogen recognition. Nature Immunol. 12, 121–128 (2011).
Loo, Y. M. & Gale, M. Jr. Immune signaling by RIG-I-like receptors. Immunity 34, 680–692 (2011).
Schroder, K. & Tschopp, J. The inflammasomes. Cell 140, 821–832 (2010).
Sancho, D. & Reis e Sousa, C. Signaling by myeloid C-type lectin receptors in immunity and homeostasis. Annu. Rev. Immunol. 30, 491–529 (2012).
Bottazzi, B., Doni, A., Garlanda, C. & Mantovani, A. An integrated view of humoral innate immunity: pentraxins as a paradigm. Annu. Rev. Immunol. 28, 157–183 (2010).
Casanova, J. L., Abel, L. & Quintana-Murci, L. Human TLRs and IL-1Rs in host defense: natural insights from evolutionary, epidemiological, and clinical genetics. Annu. Rev. Immunol. 29, 447–491 (2011).
Barreiro, L. B. et al. Evolutionary dynamics of human Toll-like receptors and their different contributions to host defense. PLoS Genet. 5, e1000562 (2009).
Mukherjee, S., Sarkar-Roy, N., Wagener, D. K. & Majumder, P. P. Signatures of natural selection are not uniform across genes of innate immune system, but purifying selection is the dominant signature. Proc. Natl Acad. Sci. USA 106, 7073–7078 (2009).
Nakajima, T. et al. Natural selection in the TLR-related genes in the course of primate evolution. Immunogenetics 60, 727–735 (2008).
Smirnova, I., Hamblin, M. T., McBride, C., Beutler, B. & Di Rienzo, A. Excess of rare amino acid polymorphisms in the Toll-like receptor 4 in humans. Genetics 158, 1657–1664 (2001).
Wlasiuk, G., Khan, S., Switzer, W. M. & Nachman, M. W. A history of recurrent positive selection at the toll-like receptor 5 in primates. Mol. Biol. Evol. 26, 937–949 (2009).
Wlasiuk, G. & Nachman, M. W. Adaptation and constraint at Toll-like receptors in primates. Mol. Biol. Evol. 27, 2172–2186 (2010).
Ferrer-Admetlla, A. et al. Balancing selection is the main force shaping the evolution of innate immunity genes. J. Immunol. 181, 1315–1322 (2008).
Ortiz, M. et al. The evolutionary history of the CD209 (DC-SIGN) family in humans and non-human primates. Genes Immun. 9, 483–492 (2008).
Ferwerda, B. et al. TLR4 polymorphisms, infectious diseases, and evolutionary pressure during migration of modern humans. Proc. Natl Acad. Sci. USA 104, 16645–16650 (2007).
Hawn, T. R. et al. A common dominant TLR5 stop codon polymorphism abolishes flagellin signaling and is associated with susceptibility to Legionnaires' disease. J. Exp. Med. 198, 1563–1572 (2003).
Franchi, L. et al. Cytosolic flagellin requires Ipaf for activation of caspase-1 and interleukin 1β in salmonella-infected macrophages. Nature Immunol. 7, 576–582 (2006).
Lohmueller, K. E. et al. Proportionally more deleterious genetic variation in European than in African populations. Nature 451, 994–997 (2008). A well-documented case that the out-of-Africa migration resulted in a bottleneck that increased the amount of deleterious mutations among non-African populations.
Kariko, K., Buckstein, M., Ni, H. & Weissman, D. Suppression of RNA recognition by Toll-like receptors: the impact of nucleoside modification and the evolutionary origin of RNA. Immunity 23, 165–175 (2005).
Deane, J. A. & Bolland, S. Nucleic acid-sensing TLRs as modifiers of autoimmunity. J. Immunol. 177, 6573–6578 (2006).
Marshak-Rothstein, A. Toll-like receptors in systemic autoimmune disease. Nature Rev. Immunol. 6, 823–835 (2006).
Pisitkun, P. et al. Autoreactive B cell responses to RNA-related antigens due to TLR7 gene duplication. Science 312, 1669–1672 (2006).
Krieg, A. M. & Vollmer, J. Toll-like receptors 7, 8, and 9: linking innate immunity to autoimmunity. Immunol. Rev. 220, 251–269 (2007).
Fumagalli, M. et al. Population genetics of IFIH1: ancient population structure, local selection and implications for susceptibility to type 1 diabetes. Mol. Biol. Evol. 27, 2555–2566 (2010).
Vasseur, E. et al. The evolutionary landscape of cytosolic microbial sensors in humans. Am. J. Hum. Genet. 91, 27–37 (2012).
Vasseur, E. et al. The selective footprints of viral pressures at the human RIG-I-like receptor family. Hum. Mol. Genet. 20, 4462–4474 (2011).
Fujita, T., Matsushita, M. & Endo, Y. The lectin-complement pathway — its role in innate immunity and evolution. Immunol. Rev. 198, 185–202 (2004).
Holmskov, U., Thiel, S. & Jensenius, J. C. Collections and ficolins: humoral lectins of the innate immune defense. Annu. Rev. Immunol. 21, 547–578 (2003).
Garred, P., Larsen, F., Seyfarth, J., Fujita, R. & Madsen, H. O. Mannose-binding lectin and its genetic variants. Genes Immun. 7, 85–94 (2006).
Casanova, J. L. & Abel, L. Human mannose-binding lectin in immunity: friend, foe, or both? J. Exp. Med. 199, 1295–1299 (2004).
Heitzeneder, S., Seidel, M., Forster-Waldl, E. & Heitger, A. Mannan-binding lectin deficiency — good news, bad news, doesn't matter? Clin. Immunol. 143, 22–38 (2012).
Eisen, D. P. & Minchinton, R. M. Impact of mannose-binding lectin on susceptibility to infectious diseases. Clin. Infect. Dis. 37, 1496–1505 (2003).
Bernig, T. et al. Sequence analysis of the mannose-binding lectin (MBL2) gene reveals a high degree of heterozygosity with evidence of selection. Genes Immun. 5, 461–476 (2004).
Verdu, P. et al. Evolutionary insights into the high worldwide prevalence of MBL2 deficiency alleles. Hum. Mol. Genet. 15, 2650–2658 (2006).
Hoal-Van Helden, E. G. et al. Mannose-binding protein B allele confers protection against tuberculous meningitis. Pediatr. Res. 45, 459–464 (1999).
Santos, I. K. et al. Mannan-binding lectin enhances susceptibility to visceral leishmaniasis. Infect. Immun. 69, 5212–5215 (2001).
Walsh, E. C. et al. Searching for signals of evolutionary selection in 168 genes related to immune function. Hum. Genet. 119, 92–102 (2006).
O'Neill, L. A. & Bowie, A. G. The family of five: TIR-domain-containing adaptors in Toll-like receptor signalling. Nature Rev. Immunol. 7, 353–364 (2007).
Fornarino, S. et al. Evolution of the TIR domain-containing adaptors in humans: swinging between constraint and adaptation. Mol. Biol. Evol. 28, 3087–3097 (2011).
Ferwerda, B. et al. Functional and genetic evidence that the Mal/TIRAP allele variant 180L has been selected by providing protection against septic shock. Proc. Natl Acad. Sci. USA 106, 10272–10277 (2009).
Casrouge, A. et al. Herpes simplex virus encephalitis in human UNC-93B deficiency. Science 314, 308–312 (2006).
Zhang, S. Y. et al. TLR3 deficiency in patients with herpes simplex encephalitis. Science 317, 1522–1527 (2007).
Zhang, S. Y. et al. Inborn errors of interferon (IFN)-mediated immunity in humans: insights into the respective roles of IFN-α/β, IFN-γ, and IFN-λ in host defense. Immunol. Rev. 226, 29–40 (2008).
Ohta, T. Gene conversion and evolution of gene families: an overview. Genes 1, 349–356 (2010).
Manry, J. et al. Evolutionary genetic dissection of human interferons. J. Exp. Med. 208, 2747–2759 (2011). The first population genetic study of human IFNs that demonstrated that the different IFN families, and individual IFN subtypes, differ widely in their biological relevance for host defence.
Manry, J. et al. Evolutionary genetics evidence of an essential, nonredundant role of the IFN-γ pathway in protective immunity. Hum. Mutat. 32, 633–642 (2011).
Klotman, M. E. & Chang, T. L. Defensins in innate antiviral immunity. Nature Rev. Immunol. 6, 447–456 (2006).
Abu Bakar, S., Hollox, E. J. & Armour, J. A. Allelic recombination between distinct genomic locations generates copy number diversity in human β-defensins. Proc. Natl Acad. Sci. USA 106, 853–858 (2009).
Aldred, P. M., Hollox, E. J. & Armour, J. A. Copy number polymorphism and expression level variation of the human α-defensin genes DEFA1 and DEFA3. Hum. Mol. Genet. 14, 2045–2052 (2005).
Hollox, E. J. & Armour, J. A. Directional and balancing selection in human β-defensins. BMC Evol. Biol. 8, 113 (2008).
Das, S. et al. Comparative genomics and evolution of the α-defensin multigene family in primates. Mol. Biol. Evol. 27, 2333–2343 (2010).
Cagliani, R. et al. The signature of long-standing balancing selection at the human defensin β-1 promoter. Genome Biol. 9, R143 (2008).
Chen, Q. X. et al. Genomic variations within DEFB1 are associated with the susceptibility to and the fatal outcome of severe sepsis in Chinese Han population. Genes Immun. 8, 439–443 (2007).
Hamblin, M. T., Thompson, E. E. & Di Rienzo, A. Complex signatures of natural selection at the Duffy blood group locus. Am. J. Hum. Genet. 70, 369–383 (2002).
Xue, Y. et al. Spread of an inactive form of caspase-12 in humans is due to recent positive selection. Am. J. Hum. Genet. 78, 659–670 (2006).
Isnardi, I. et al. IRAK-4- and MyD88-dependent pathways are essential for the removal of developing autoreactive B cells in humans. Immunity 29, 746–757 (2008).
von Bernuth, H. et al. Pyogenic bacterial infections in humans with MyD88 deficiency. Science 321, 691–696 (2008).
Fumagalli, M. et al. Signatures of environmental genetic adaptation pinpoint pathogens as the main selective pressure through human evolution. PLoS Genet. 7, e1002355 (2011). This study demonstrates that the selective pressures imposed by pathogens have been among the strongest influences on the patterns of diversity of the human genome.
Hooper, L. V., Littman, D. R. & Macpherson, A. J. Interactions between the microbiota and the immune system. Science 336, 1268–1273 (2012).
Round, J. L. & Mazmanian, S. K. The gut microbiota shapes intestinal immune responses during health and disease. Nature Rev. Immunol. 9, 313–323 (2009).
Eberl, G. A new vision of immunity: homeostasis of the superorganism. Mucosal Immunol. 3, 450–460 (2010).
Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S. & Medzhitov, R. Recognition of commensal microflora by toll-like receptors is required for intestinal homeostasis. Cell 118, 229–241 (2004).
Bouskra, D. et al. Lymphoid tissue genesis induced by commensals through NOD1 regulates intestinal homeostasis. Nature 456, 507–510 (2008).
Ma, Y. et al. Toll-like receptor 8 functions as a negative regulator of neurite outgrowth and inducer of neuronal apoptosis. J. Cell Biol. 175, 209–215 (2006).
Strowig, T., Henao-Mejia, J., Elinav, E. & Flavell, R. Inflammasomes in health and disease. Nature 481, 278–286 (2012).
Jin, Y. et al. Genome-wide association analyses identify 13 new susceptibility loci for generalized vitiligo. Nature Genet. 44, 676–680 (2012).
Li, Y. et al. Carriers of rare missense variants in IFIH1 are protected from psoriasis. J. Invest. Dermatol. 130, 2768–2772 (2010).
Nejentsev, S., Walker, N., Riches, D., Egholm, M. & Todd, J. A. Rare variants of IFIH1, a gene implicated in antiviral responses, protect against type 1 diabetes. Science 324, 387–389 (2009).
Di Rienzo, A. Population genetics models of common diseases. Curr. Opin. Genet. Dev. 16, 630–636 (2006).
Blekhman, R. et al. Natural selection on genes that underlie human disease susceptibility. Curr. Biol. 18, 883–889 (2008).
Nielsen, R. et al. Darwinian and demographic forces affecting human protein coding genes. Genome Res. 19, 838–849 (2009).
Picard, C. et al. Pyogenic bacterial infections in humans with IRAK-4 deficiency. Science 299, 2076–2079 (2003).
Aganna, E. et al. Association of mutations in the NALP3/CIAS1/PYPAF1 gene with a broad phenotype including recurrent fever, cold sensitivity, sensorineural deafness, and AA amyloidosis. Arthritis Rheum. 46, 2445–2452 (2002).
Hoffman, H. M., Mueller, J. L., Broide, D. H., Wanderer, A. A. & Kolodner, R. D. Mutation of a new gene encoding a putative pyrin-like protein causes familial cold autoinflammatory syndrome and Muckle-Wells syndrome. Nature Genet. 29, 301–305 (2001).
Filipe-Santos, O. et al. Inborn errors of IL-12/23- and IFN-γ-mediated immunity: molecular, cellular, and clinical features. Semin. Immunol. 18, 347–361 (2006).
Alcais, A. et al. Life-threatening infectious diseases of childhood: single-gene inborn errors of immunity? Ann. NY Acad. Sci. 1214, 18–33 (2010). An elaborated view of the genetic architecture of infectious diseases, whereby life-threatening infectious diseases in childhood result mostly from rare single-gene variations of large effect, whereas the genetic component of predisposition to secondary infections in adults is genetically more complex.
Peterslund, N. A., Koch, C., Jensenius, J. C. & Thiel, S. Association between deficiency of mannose-binding lectin and severe infections after chemotherapy. Lancet 358, 637–638 (2001).
Torgerson, D. G. et al. Evolutionary processes acting on candidate cis-regulatory regions in humans inferred from patterns of polymorphism and divergence. PLoS Genet. 5, e1000592 (2009).
Jin, Y. et al. NALP1 in vitiligo-associated multiple autoimmune disease. N. Engl. J. Med. 356, 1216–1225 (2007).
Johnson, C. M. et al. Cutting edge: a common polymorphism impairs cell surface trafficking and functional responses of TLR1 but protects against leprosy. J. Immunol. 178, 7520–7524 (2007).
Ma, X. et al. Full-exon resequencing reveals Toll-like receptor variants contribute to human susceptibility to tuberculosis disease. PLoS ONE 2, e1318 (2007).
Schuring, R. P. et al. Polymorphism N248S in the human Toll-like receptor 1 gene is related to leprosy and leprosy reactions. J. Infect. Dis. 199, 1816–1819 (2009).
Swanberg, M. et al. MHC2TA is associated with differential MHC molecule expression and susceptibility to rheumatoid arthritis, multiple sclerosis and myocardial infarction. Nature Genet. 37, 486–494 (2005).
Prokunina-Olsson, L. et al. A variant upstream of IFNL3 (IL28B) creating a new interferon gene IFNL4 is associated with impaired clearance of hepatitis C virus. Nature Genet. 45, 164–171 (2013).
Ge, D. et al. Genetic variation in IL28B predicts hepatitis C treatment-induced viral clearance. Nature 461, 399–401 (2009).
Suppiah, V. et al. IL28B is associated with response to chronic hepatitis C interferon-α and ribavirin therapy. Nature Genet. 41, 1100–1104 (2009).
Tanaka, Y. et al. Genome-wide association of IL28B with response to pegylated interferon-α and ribavirin therapy for chronic hepatitis C. Nature Genet. 41, 1105–1109 (2009).
Thomas, D. L. et al. Genetic variation in IL28B and spontaneous clearance of hepatitis C virus. Nature 461, 798–801 (2009). References 123–127 report one of the most convincing genome-wide associations of a host genetic factor with complex susceptibility to infection and response to treatment.
Sironi, M. & Clerici, M. The hygiene hypothesis: an evolutionary perspective. Microbes Infect. 12, 421–427 (2010).
Magitta, N. F. et al. A coding polymorphism in NALP1 confers risk for autoimmune Addison's disease and type 1 diabetes. Genes Immun. 10, 120–124 (2009).
Leung, T. F. et al. Asthma and atopy are associated with DEFB1 polymorphisms in Chinese children. Genes Immun. 7, 59–64 (2006).
Jostins, L. et al. Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature 491, 119–124 (2012). The most comprehensive analysis of the genetic architecture of IBD. The study showed an extensive overlap between IBD loci and loci that are linked to other disorders, such as ankylosing spondylitis, psoriasis and mycobacterial infections.
Cho, J. H. The genetics and immunopathogenesis of inflammatory bowel disease. Nature Rev. Immunol. 8, 458–466 (2008).
Nakagome, S. et al. Crohn's disease risk alleles on the NOD2 locus have been maintained by natural selection on standing variation. Mol. Biol. Evol. 29, 1569–1585 (2012).
Pritchard, J. K., Pickrell, J. K. & Coop, G. The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation. Curr. Biol. 20, R208–R215 (2010).
Casals, F. et al. Genetic adaptation of the antibacterial human innate immunity network. BMC Evol. Biol. 11, 202 (2011).
Consortium, T. E. P. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
Kudaravalli, S., Veyrieras, J. B., Stranger, B. E., Dermitzakis, E. T. & Pritchard, J. K. Gene expression levels are a target of recent natural selection in the human genome. Mol. Biol. Evol. 26, 649–658 (2009).
Schaub, M. A., Boyle, A. P., Kundaje, A., Batzoglou, S. & Snyder, M. Linking disease associations with regulatory information in the human genome. Genome Res. 22, 1748–1759 (2012).
Vernot, B. et al. Personal and population genomics of human regulatory variation. Genome Res. 22, 1689–1697 (2012).
Landolt, G. A. & Olsen, C. W. Up to new tricks — a review of cross-species transmission of influenza A viruses. Anim. Health Res. Rev. 8, 1–21 (2007).
Greenbaum, B. D., Levine, A. J., Bhanot, G. & Rabadan, R. Patterns of evolution and host gene mimicry in influenza and other RNA viruses. PLoS Pathog. 4, e1000079 (2008).
Rabadan, R., Levine, A. J. & Robins, H. Comparison of avian and human influenza A viruses reveals a mutational bias on the viral genomes. J. Virol. 80, 11887–11891 (2006).
Takeshita, F. et al. Signal transduction pathways mediated by the interaction of CpG DNA with Toll-like receptor 9. Semin. Immunol. 16, 17–22 (2004).
Kobasa, D. et al. Aberrant innate immune response in lethal infection of macaques with the 1918 influenza virus. Nature 445, 319–323 (2007).
Huang, K. J. et al. An interferon-γ-related cytokine storm in SARS patients. J. Med. Virol. 75, 185–194 (2005).
Haque, A., Hober, D. & Kasper, L. H. Confronting potential influenza A (H5N1) pandemic with better vaccines. Emerg. Infect. Dis. 13, 1512–1518 (2007).
Ferrandon, D., Imler, J. L., Hetru, C. & Hoffmann, J. A. The Drosophila systemic immune response: sensing and signalling during bacterial and fungal infections. Nature Rev. Immunol. 7, 862–874 (2007).
Jiggins, F. M. & Kim, K. W. Contrasting evolutionary patterns in Drosophila immune receptors. J. Mol. Biol. 63, 769–780 (2006).
Sackton, T. B. et al. Dynamic evolution of the innate immune system in Drosophila. Nature Genet. 39, 1461–1468 (2007).
Lazzaro, B. P. Elevated polymorphism and divergence in the class C scavenger receptors of Drosophila melanogaster and D. simulans. Genetics 169, 2023–2034 (2005).
Schlenke, T. A. & Begun, D. J. Natural selection drives Drosophila immune system evolution. Genetics 164, 1471–1480 (2003).
Waterhouse, R. M. et al. Evolutionary dynamics of immune-related genes and pathways in disease-vector mosquitoes. Science 316, 1738–1743 (2007).
Begun, D. J. & Whitley, P. Adaptive evolution of Relish, a Drosophila NF-κB/IκB protein. Genetics 154, 1231–1238 (2000).
Jiggins, F. M. & Kim, K. W. The evolution of antifungal peptides in Drosophila. Genetics 171, 1847–1859 (2005).
Lazzaro, B. P. & Clark, A. G. Molecular population genetics of inducible antibacterial peptide genes in Drosophila melanogaster. Mol. Biol. Evol. 20, 914–923 (2003).
Candille, S. I. et al. A β-defensin mutation causes black coat color in domestic dogs. Science 318, 1418–1423 (2007).
Hawn, T. R. et al. A common human TLR1 polymorphism regulates the innate immune response to lipopeptides. Eur. J. Immunol. 37, 2280–2289 (2007).
Misch, E. A. et al. Human TLR1 deficiency is associated with impaired mycobacterial signaling and protection from leprosy reversal reaction. PLoS Negl. Trop. Dis. 2, e231 (2008).
Enard, D., Depaulis, F. & Roest Crollius, H. Human and non-human primate genomes share hotspots of positive selection. PLoS Genet. 6, e1000840 (2010).
Acknowledgements
We would like to thank M. Albert, L. Barreiro, J.-L. Casanova, G. Eberl, E. Patin and J. Pothlichet for helpful comments and discussions. This work was supported by Institut Pasteur, the Centre National de la Recherche Scientifique, the Agence Nationale de la Recherche (ANR-08-MIEN-009-01), the Fondation pour la Recherche Médicale, and an École Polytechnique Federale de Lausanne-Debiopharm Life Sciences Award to L.Q.-M. The laboratory of L.Q.-M. has received funding from the French Government's Investissement d'Avenir program, Laboratoire d'Excellence “Integrative Biology of Emerging Infectious Diseases” (grant no. ANR-10-LABX-62-IBEID), and from the European Research Council under the European Union's Seventh Framework Programme (FP/2007–2013)/ERC Grant Agreement No. 281297. A.G.C. receives funding from the US National Institutes of Health (R01 AI064950).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Related links
Glossary
- Next-generation sequencing
-
Non-Sanger-based, high-throughput methods that are able to produce thousands or millions of sequence reads at once. Next-generation sequencing can be used for the direct sequencing of genomes and transcripts, but also to learn more about genome-wide variation of regulatory mechanisms: for example, variation in transcription factor binding sites or epigenetic modifications such as DNA methylation.
- Whole-exome sequencing
-
A technology that involves capturing the exonic portion of the genome (roughly 2–3% of the human genome) using microarrays and then applying next-generation sequencing. This approach remains more affordable than whole-genome sequencing and retains the most likely sources of genetic disease risk. This technology is increasingly being used in medical genetics studies.
- Genome-wide association studies
-
(GWAS). Unbiased genome-wide screens in which associations between genetic variation and a phenotype or trait of interest are identified by genotyping cases (for example, diseased individuals) and controls (for example, healthy individuals). The dominant technology used so far has been genome-wide single-nucleotide polymorphism arrays.
- Fitness
-
A measure of the capacity of an organism to survive and reproduce.
- Synonymous mutations
-
Substitutions of one nucleotide for another in the DNA sequence of an exon that do not alter the corresponding amino acid sequence. Synonymous mutations that occur outside protein-coding genes are broadly known as silent mutations. Synonymous and silent mutations are often assumed to be neutral.
- Non-synonymous mutations
-
Nucleotide substitutions in an exon that, in contrast to synonymous changes, alter the amino acid sequence of a protein. Depending on how radical the amino acid change is, the impact of a non-synonymous mutation on protein function is variable and subject to natural selection to different extents.
- Single-nucleotide polymorphisms
-
(SNPs). Bi-allelic (typically) base-pair substitutions, which are the most common forms of genetic polymorphism.
- International HapMap Project
-
The International HapMap Project has built a haplotype map of the human genome and reports the common patterns of human genetic variation based on the results of genotyping analyses. This freely available data set reports information on the allelic frequencies of up to 3 million single-nucleotide polymorphisms distributed throughout the genome, across different human populations.
- 1000 Genomes Project
-
The 1000 Genomes Project aims to provide a large number of complete human genome sequences from individuals from different ethnic backgrounds. The advantage of this project is that it provides information on all forms of DNA polymorphism as well as on low-frequency and rare variants, which are absent in the HapMap Project.
- Complement receptors
-
The complement system is a family of serum proteins and cell-surface receptors that participate in innate and adaptive immunity, and is one of the main effector mechanisms of antibody-mediated immunity. They act in concert to mediate inflammation, enhance B and T cell immunity, and regulate self-reactive B cells.
- Ficolins
-
A group of humoral proteins that contain a collagen-like domain and a fibrinogen-like domain. They can bind carbohydrate molecules on pathogens, apoptotic and necrotic cells to activate the lectin–complement pathway.
- Collectins
-
C-type lectins that have a collagen-like domain. One group of collectins, the secreted lectins, consists of mannose-binding lectin (MBL), bovine conglutinin (BKg) and collectin 43 (CL43) in blood, and the two mucosal-associated proteins surfactant protein A (SPA) and SPD. The other group of collectins consists of the newly discovered non-secreted-type collectin liver 1 (CL-L1) and membrane-type collectin placenta 1 (CL-P1).
- Pentraxins
-
Pentraxins constitute a superfamily of evolutionarily conserved proteins characterized by a cyclic multimeric structure and the presence in the carboxyl terminus of a pentraxin domain. They are prototypic components of the humoral arm of innate immunity.
- Lectin–complement pathway
-
The lectin–complement pathway involves carbohydrate recognition by pattern-recognition receptors, such as mannose binding lectin (MBL) and ficolins, and the subsequent activation of associated unique enzymes that are known as MBL-associated serine proteases (MASPs). Other complement pathways include the classical-complement pathway and the alternative-complement pathway.
- Defensins
-
A class of antimicrobial peptides that have activity against Gram-positive and Gram-negative bacteria, fungi and viruses. Defensins are classified into two main categories on the basis of the position of conserved cysteine and hydrophobic residues and the linkages of disulphide bonds: α-defensins are produced by intestinal Paneth cells and neutrophils, and β-defensins are expressed by most epithelial cells. A third category, the θ-defensins, arises from the splicing of two α-defensin-related peptides into a circular molecule; at present, these defensins have been detected only in the neutrophils of rhesus macaques.
- Genetic drift
-
The random fluctuations in allele frequencies over time that are due to chance alone.
- DEATH domain
-
A protein domain that is found in many proteins that are involved in cellular signalling processes, including apoptosis, inflammation and development. This domain mediates protein–protein interactions.
- Expression quantitative trait loci
-
(eQTLs). Genomic loci in which genetic variants alter individual differences in quantitative levels of gene expression.
- ENCODE Consortium
-
The goal of the Encyclopedia of DNA Elements (ENCODE) Consortium is to systematically map regions of transcription, transcription factor association, chromatin structure and histone modification. In doing so, it provides new insights into the organization and regulation of the human genome and constitutes an expansive resource of functional annotations for biomedical research.
Rights and permissions
About this article
Cite this article
Quintana-Murci, L., Clark, A. Population genetic tools for dissecting innate immunity in humans. Nat Rev Immunol 13, 280–293 (2013). https://doi.org/10.1038/nri3421
Published:
Issue date:
DOI: https://doi.org/10.1038/nri3421
This article is cited by
-
Non-MHC immunity genes do not affect parasite load in European invasive populations of common raccoon
Scientific Reports (2023)
-
Regulatory regions in natural transposable element insertions drive interindividual differences in response to immune challenges in Drosophila
Genome Biology (2021)
-
Inherited GATA2 Deficiency Is Dominant by Haploinsufficiency and Displays Incomplete Clinical Penetrance
Journal of Clinical Immunology (2021)
-
The human genetic determinism of life-threatening infectious diseases: genetic heterogeneity and physiological homogeneity?
Human Genetics (2020)
-
Evolutionary and population (epi)genetics of immunity to infection
Human Genetics (2020)